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Showing 1601–1625 of 9169 papers

TitleStatusHype
Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series ClassificationCode0
Frequency-Domain Data-Driven Predictive Control—0
Time Series Modeling for Heart Rate Prediction: From ARIMA to Transformers—0
Generalization bounds for mixing processes via delayed online-to-PAC conversions—0
Self-Supervised Time-Series Anomaly Detection Using Learnable Data Augmentation—0
TSI-Bench: Benchmarking Time Series ImputationCode3
XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptationCode1
Modeling, Inference, and Prediction in Mobility-Based Compartmental Models for Epidemiology—0
Delay Embedding Theory of Neural Sequence Models—0
LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction—0
Brain-Inspired Spike Echo State Network Dynamics for Aero-Engine Intelligent Fault Prediction—0
WindowMixer: Intra-Window and Inter-Window Modeling for Time Series Forecasting—0
SigDiffusions: Score-Based Diffusion Models for Long Time Series via Log-Signature EmbeddingsCode0
Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series DataCode0
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting—0
Universal randomised signatures for generative time series modellingCode0
Reinforced Decoder: Towards Training Recurrent Neural Networks for Time Series ForecastingCode0
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System TelemetryCode0
On when is Reservoir Computing with Cellular Automata Beneficial?—0
How & Why To Use Audience Segmentation to Maximize (Listener) Demand Across Digital Music Portfolio—0
LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices—0
DeepUnifiedMom: Unified Time-series Momentum Portfolio Construction via Multi-Task Learning with Multi-Gate Mixture of ExpertsCode1
Precise analysis of ridge interpolators under heavy correlations -- a Random Duality Theory view—0
Fredformer: Frequency Debiased Transformer for Time Series ForecastingCode2
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant LearningCode1
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